Yi-Hau Chen

Datos Biográficos

ID5541885
NOMBREYi-Hau Chen
NOMBRESYi-Hau
APELLIDOChen
FIRMACHEN Y
VERIFICADONo
TOTAL DE OBRAS2
TOTAL DE CITAS0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2009
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
ÍNDICE H0

  • The Optimal Machine Learning-Based Missing Data Imputation for the Cox Proportional Hazard Model

    Open AccessChao‐Yu Guo, Chao-Yu Guo et al.ARTICLEFrontiers in Public Health2021

    An adequate imputation of missing data would significantly preserve the statistical power and avoid erroneous conclusions. In the era of big data, machine learning is a great tool to infer the missing values. The root means square error (RMSE) and the proportion of falsely classified entries (PFC) are two standard statistics to evaluate imputation accuracy. However, the Cox proportional hazards model using various types requires deliberate study,…

  • Associations of Physician Volume and Weekend Admissions With Ischemic Stroke Outcome in Taiwan

    Yu-Chi Tung, Yu‐Chi Tung et al.ARTICLEMedical Care2009Referencias: 31

    BACKGROUND: Although volume-outcome and weekend-outcome relationships have been explored for various procedures and interventions, limited information is available concerning "physician volume" and the "weekend effect" on stroke mortality. Moreover, little is known about the relative and combined influence of physician and hospital volume on stroke mortality. OBJECTIVES: We used nationwide population-based data to explore the influences of physic…